AI Research Summary
Before Human ReviewBased on abstract · Full text not reviewed
This is a summary based only on the abstract, and the full text was not reviewed. The study analyzed, using system dynamics, the effects of ethical readiness and risk governance on sustainable performance in the responsible adoption of AI by small and medium-sized enterprises. The authors argue that AI adoption alone does not guarantee long-term value, and that performance improves when human oversight, documentation, vendor checks, employee training, and continuous monitoring are combined.
Key Points from the Abstract
- It argues that responsible AI adoption is linked to sustainable performance.
- Rapid adoption with weak governance may deliver initial efficiency but increase long-term risk.
- Responsible AI is viewed not as a technology purchase, but as a management capability.
Relevance to AI Law and Policy
Useful as a reference for SME AI governance, ethical readiness, and risk management design.
Limitations to Consider
- From the abstract alone, the sample size, country, and industry cannot be confirmed.
- The effect size and statistical significance cannot be determined from the abstract.
- The limitations of this study are not separately presented in the abstract.
Please compare with the original text before citing or using it in your assessment.
Abstract Preview
This study examines responsible AI adoption in small and medium-sized enterprises through a system dynamics…Read more in the abstract and original text Research Topic
Original text and source
Responsible AI Adoption in SMEs: A System Dynamics Approach to Risk Governance, Ethical Readiness and Sustainable Business Performance
The Korean title on this page was translated by AI.- Database
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